Why Some Investors See Sports Tech’s Missing Infrastructure as Investable

Sports-tech investing is becoming less about the size of fandom and more about the infrastructure that still has not been built around it.

The investable companies are not simply adding software to sports. They own a difficult layer—data capture, hardware, rights, venue workflow, or distribution—that a repeat buyer depends on.

I’ve spent 25 years in technology and entrepreneurship. That experience makes me skeptical of category stories built on market-size forecasts alone; the company still has to own a recurring problem and a defensible route to revenue.

This is not a claim that sports tech is replacing fintech.

The categories are too different for that comparison to carry the thesis.

The narrower case is that some investors now see underbuilt sports infrastructure as a source of proprietary data, physical-world moats, and recurring revenue.

That case has to be tested company by company.

The $48.7 Billion Number Needs Context

The sports technology market is often described as a $48.7 billion market.

That number is a forecast, not a confirmed 2026 valuation.

KBV Research published the figure in 2022, projecting that the global sports technology market would reach $48.7 billion by 2028 after growing at a compound annual rate of 16.8 percent. Its definition included analytics, devices, smart stadium systems, and other technologies used across professional sports.

Newer estimates do not agree on one exact number because researchers draw the category differently. MarketsandMarkets valued the market at $34.25 billion in 2025 and projected it would reach $68.71 billion by 2030. Its coverage includes wearables, sports cameras, smart equipment, analytics, artificial intelligence, venue technology, and connected stadium operations.

The disagreement is not a reason to ignore the category.

It is a reason to stop treating one forecast as the argument.

The real story is that technology is being inserted into almost every part of sport: how athletes train, how officials make calls, how facilities operate, how content is produced, and how fans experience a live event.

Fintech Is Bigger, but the Deal Count Is Telling Us Something

Global fintech investment reached $116 billion across 4,719 deals in 2025, according to KPMG. That was an increase from $95.5 billion in 2024.

The deal count moved in the opposite direction.

Fintech activity fell to its lowest annual deal volume since 2017, continuing a four-year decline in the number of transactions. More money entered the category, but investors concentrated it into fewer companies and several very large deals.

Sports tech is much smaller. SportsTechX reported $8.7 billion invested in 2025 and $35.8 billion deployed from 2021 through 2025. Its 2026 ecosystem report counted 46 sports-tech unicorns with a combined valuation of $210.2 billion. It also found that acquisitions by sports technology companies had accelerated, with 68 sportstech-on-sportstech deals completed in 2025.

The behavior beneath those totals is what selective investors point to. SportsTechX found the average sports-tech deal grew to $43.6 million in 2025 from $28.1 million a year earlier, even as the number of rounds held roughly steady, with money concentrating in proven companies rather than spreading across early experiments, and Europe overtook North America for the first time, taking 51 percent of global sports-tech funding. Dedicated vehicles are forming around that thesis: in April 2026, InStudio Ventures launched a $50 million sports and performance fund, anchored by stakes in NFL teams, with most of the capital earmarked for earlier-stage startups bringing AI into sport.

These totals are not a like-for-like comparison. Fintech is a mature category measured with different definitions, company sizes, and deal stages than sports tech, so the useful signal is the direction of travel, not the raw gap between the two numbers.

That is not sports tech overtaking fintech.

It is sports tech becoming a category investors can evaluate through operating companies, repeat buyers, acquisitions, and real infrastructure rather than a collection of interesting experiments.

The relevant question is not which category is larger.

It is whether a company owns a missing layer with repeat buyers and defensible economics.

Sports Starts With Built-In Demand

People do not need to be convinced to care about the final minutes of a close game.

They already care.

That matters because many technology companies spend enormous amounts of money creating a habit before they can monetize it. Sports begins with the habit. Games happen on a calendar. Fans return. Players train repeatedly. Teams need data every week. Facilities need to schedule every court, field, and lesson.

The startup still has to solve a real problem, but it is entering an existing pattern of attention.

Software customers in any category may switch when another product offers a comparable workflow at lower cost.

Sports carries identity.

A fan does not replace a team because another team launches a better interface. A player does not stop wanting to improve because a new app appears. A league does not lose the need to officiate, distribute content, protect athletes, or manage venues.

The attachment already exists.

Technology earns money by improving what happens around it.

That head start is an advantage, not a guarantee. Sports tech still has to win over slow-moving buyers, absorb the cost of hardware, work within locked-up rights, and serve a short list of major customers before built-in attention becomes durable revenue.

One Product Can Serve Five Buyers

The most interesting sports technology companies are not selling one feature to one customer.

They are building a data layer that can serve teams, leagues, broadcasters, coaches, commercial partners, and fans.

Sportable embeds sensors in balls and player equipment to produce real-time data. Teams can use that information for performance analysis. Leagues can use it for officiating and game management. Broadcasters can turn it into graphics and stories. Gaming and fantasy platforms can use it to create interactive products.

The same event creates several products.

That is the business model investors are noticing.

A ball trajectory can help a coach correct technique. The same data can help an official verify a call. It can then appear in a broadcast, support a fan prediction tool, and become part of a league’s historical database.

A generic software company may need a separate acquisition strategy for every customer segment.

A strong sports technology company can capture one event and package its value several ways.

The underlying data gets more useful every time the system is used.

Physical Integration Creates a Better Moat

Software is easier to build than it was three years ago.

That is good for founders and terrible for weak differentiation.

A polished dashboard is no longer enough. An artificial intelligence feature can be copied. A general-purpose model can summarize footage, generate a training plan, or create basic fan content without owning anything unique.

Sports tech becomes more defensible when software is connected to real courts, equipment, venues, media rights, or league workflows.

Cosm raised more than $250 million in 2024 at a valuation above $1 billion. In June 2026, Sony Pictures made a $100 million strategic investment and took a minority stake, adding a board seat and a partner with film, music, anime, and interactive-entertainment assets. Cosm’s dome venues combine proprietary displays, physical locations, official content rights, and in-building audience behavior. The repeat investment is evidence of investor conviction in that integrated model, not proof that every immersive-sports venue will produce venture returns.

That is a difficult company to copy with a weekend prototype.

The venue matters. The rights matter. The production system matters. The audience behavior inside the building matters.

That physical integration can make the business harder to copy than a software-only product in any category.

Fan Attention Is Becoming Its Own Product

Traditional sports broadcasts ask fans to watch the same feed at the same time.

Younger audiences often want more control. They want alternate commentary, live conversation, clips, creators, statistics, and community around the game.

Playback is a sharper case study in both the promise and the difficulty of that shift. The “Twitch for sports” platform raised $22 million from Seven Seven Six, Khosla Ventures, and NBA Investments, and struck deals that let MLB.TV and NBA League Pass subscribers watch official streams inside creator-led rooms.

That was not another sports news app.

It sat between live rights, creators, community, subscriptions, advertising, and fan identity.

The product becomes more valuable when people arrive together. That creates a network effect tied to an event competitors cannot manufacture on demand.

Playback’s own arc shows how fragile that can be. In December 2025 it shut down its consumer service, its founders pointing to a sports-rights ecosystem they called complex and dominated by companies with far deeper pockets, along with blackout and authentication rules that capped the audience it could reach; the team later joined Disney Entertainment and ESPN. The attention thesis held, since a major rights holder effectively validated it by hiring the talent, but the company could not survive owning the community while renting the content.

A payment app wants the transaction to disappear into the background.

A sports product often wants the experience to become more visible, more social, and longer.

That gives founders more places to build value.

Artificial Intelligence Has Better Raw Material Here

AI is most defensible when it has access to information competitors cannot easily obtain.

Sports produces exactly that kind of material.

Player movement, ball speed, impact location, officiating decisions, tactical formations, training loads, injury histories, venue behavior, and live fan reactions can all become proprietary datasets when captured legally and accurately.

A company with years of sport-specific video and sensor data is not merely placing a chat interface over a public model. It can train systems around the exact movement, rule, or decision its customers care about.

That can support automated highlights, injury-risk analysis, talent identification, personalized coaching, line calling, tactical review, and broadcast graphics.

More than 80 percent of sports organizations surveyed by SportsPro and Sportradar were already using AI by early 2026, while 98 percent planned to increase its use during the following year. Nearly two-thirds still said they needed more technology designed specifically for sports.

That gap is the opening.

The winners will not be the companies adding “AI-powered” to a pitch deck.

They will own the data collection, the sport-specific workflow, and the decision that follows.

Women’s Sports and New Leagues Are Building From Scratch

Established leagues have old systems, long contracts, and internal resistance.

New leagues can build technology into the operating model from the beginning.

Investor behavior also appears in companies that combine sport, technology, and physical operations. League One Volleyball raised $100 million before launching its professional league, while TOCA raised approximately $100 million to expand technology-enabled soccer training centers and social venues. These are individual deals, not proof of category-wide returns, but they show investors financing operating infrastructure rather than fan attention alone.

The opportunity is not limited to owning a team.

New leagues need ticketing, production, data collection, performance systems, officiating tools, fan membership, venue operations, sponsorship measurement, and direct-to-consumer content.

They have fewer inherited systems to protect.

A founder can become part of the league’s infrastructure before the category becomes crowded.

That is a much stronger position than trying to displace a mature vendor after every workflow has hardened.

Sports Tech Is Not Automatically a Smart Bet

Passion can hide a bad business.

Sports startups can face long league sales cycles, expensive hardware installations, rights restrictions, limited numbers of major customers, athlete privacy concerns, and dependency on one governing body.

A company may build brilliant technology and discover that the customer has no budget. A team may love the pilot but refuse to deploy it across every venue. A league partnership may create credibility without producing enough revenue.

Fan products have their own problem. Attention is valuable, but rights are expensive and fragmented. A company can attract a community and still lose access to the content that brought everyone together.

The test is not whether the product looks exciting during a live demonstration. It is whether the company owns a repeatable problem, has permission to use the necessary data, and can survive without one customer controlling its future.

Sports enthusiasm is not a moat.

Workflow, data, access, and repeated use are.

The Smart Money Is Buying the Missing Layer

Venture firms are not choosing sports tech because fintech stopped mattering.

They are choosing specific sports technology companies because too much of sport still runs without the data, automation, and connected infrastructure that other industries now take for granted.

The best opportunities sit in the missing layer.

It may be the system connecting a local athlete to professional-grade coaching. It may be the camera that turns a game into searchable data. It may be the platform helping a league distribute its content differently. It may be the officiating tool that makes a measurable call while leaving judgment with the human official.

The $48.7 billion forecast gets attention.

The unfinished infrastructure is what makes the category investable.

Before writing the check, an investor should answer four questions: What missing layer does the company own? Who pays repeatedly? Which data, rights, or physical workflow is difficult to copy? What happens if one league or platform walks away? If those answers are weak, the market forecast is irrelevant.